Contact Dr Yang Xing
Areas of expertise
- Autonomous Systems
- Computing, Simulation & Modelling
- Ergonomics, Human Factors, Driver Safety
- Human Factors
- Systems Engineering
- Vehicle Engineering & Mobility
Background
Dr Yang Xing is a Senior Lecturer in Applied Artificial Intelligence for Engineering in the Centre for Autonomous and Cyberphysical Systems. He received his Ph.D. degree from Cranfield University in July 2018. He obtained his MSc degree with distinction in Control Systems from the University of Sheffield in 2014. Before joining Cranfield University in 2021, Dr Yang Xing was a research associate with the Department of Computer Science at the University of Oxford from 2020 to 2021, and a research fellow with the Department of Mechanical and Aerospace Engineering, at Nanyang Technological University from 2019 to 2020.
Dr. Yang Xing serves as the lab director of the HUMAX Lab at Cranfield University, which is focused on the design, testing, and validation of human-centred hybrid autonomous vehicles and transportation systems.His research interest focusses on applied artificial intelligence on human-autonomy collaboration and human-centred autonomous vehicles. He has contributed 2 books and over 90 papers on high-quality peer-review journals and conferences (including several ESI highly cited papers).
Dr. Yang Xing is a senior member of IEEE. He serves as an Associate Editor in IEEE Trans. on Intelligent Vehicles, IEEE Trans. on Neural Networks and Learning Systems (Outstanding Associate Editor of 2023-2024), Highlight of Vehicles, early-career editorial board of Automotive Innovation, and Review Editor in Frontiers in Mechanical Engineering. Currently he is the Secretary of IEEE VTS AdHoc Committee on Autonomous Vehicles. He was a Guest Editor-in-Chief/Editor in IEEE Internet of Things Journal, Mechanical Systems and Signal Processing, and IEEE Intelligent Transportation Magazine, etc. He was session chair/co-chair on IEEE SWC 2023, IEEE MFI 2022, IEEE SMC 2020, IFAC Workshop on CPHS 2020, and IEEE IV 2018, etc. He won the Best Workshop/Special Session Paper on IEEE IV 2018, Best Paper on China National Intelligence Technology Conference 2019, and IEEE Outstanding Service Award on IEEE Smart World Congress 2023.
Research opportunities
I am particular focus on the following research areas:
1. Cognitive and human-centred autonomous systems, theories and technologies in trustworthy and explainable AI for human-autonomy collaboration framework and interface design.
2. Computer vision for human behaviour modelling (including computational approaches for human situation awareness, intention, emotion, and workload).
3. Computer vision for autonomous vehicles (including segmentation, object detection, and generative visual augmentation) with multimodal foundation models.
4. Applied machine learning/deep learning theories, design, and evaluation for safer and sustainable autonomous vehicles (air/ground) and intelligent transportation systems.
Clients
- Royal Society
- Defence Science and Technology Laboratory
- Engineering and Physical Sciences Research Council
- SAAB AB
- QinetiQ Group PLC
- Thales SA
Publications
Articles In Journals
- Xing Y, Golodetz S, Everitt A, Markham A & Trigoni N. (2024). Multiscale Human Activity Recognition and Anticipation Network. IEEE Transactions on Neural Networks and Learning Systems, 35(1)
- Bresson M, Xing Y & Guo W. (2024). Sim2Real: Generative AI to Enhance Photorealism through Domain Transfer with GAN and Seven-Chanel-360°-Paired-Images Dataset. Sensors, 24(1)
- Xing Y, Hu Z, Hang P & Lv C. (2024). Learning From the Dark Side: A Parallel Time Series Modelling Framework for Forecasting and Fault Detection on Intelligent Vehicles. IEEE Transactions on Intelligent Vehicles, 9(2)
- Xing Y, Hu Z, Mo X, Hang P, Li S, .... (2024). Driver Steering Behaviour Modelling Based on Neuromuscular Dynamics and Multi-Task Time-Series Transformer. Automotive Innovation, 7(1)
- Wang Z & Xing Y. (2024). Energy consumption optimisation for unmanned aerial vehicle based on reinforcement learning framework. International Journal of Powertrains, 13(1)
- Fang S, Hang P, Wei C, Xing Y & Sun J. (2024). Cooperative Driving of Connected Autonomous Vehicles in Heterogeneous Mixed Traffic: A Game Theoretic Approach. IEEE Transactions on Intelligent Vehicles, PP(99)
- Gao Z, Wen W, Xing Y & Tsourdos A. (2024). An Integrated Framework for Autonomous Driving Planning and Tracking based on NNMPC Considering Road Surface Variations. IEEE Transactions on Intelligent Vehicles, PP(99)
- Mo X, Xing Y & Lv C. (2024). Heterogeneous graph social pooling for interaction-aware vehicle trajectory prediction. Transportation Research Part E: Logistics and Transportation Review, 191
- Chen L, Li Y, Huang C, Li B, Xing Y, .... (2023). Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys. IEEE Transactions on Intelligent Vehicles, 8(2)
- Chen L, Li Y, Huang C, Xing Y, Tian D, .... (2023). Milestones in Autonomous Driving and Intelligent Vehicles—Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(9)
- Mo X, Xing Y, Liu H & Lv C. (2023). Map-Adaptive Multimodal Trajectory Prediction Using Hierarchical Graph Neural Networks. IEEE Robotics and Automation Letters, 8(6)
- Hu Z, Xing Y, Gu W, Cao D & Lv C. (2023). Driver Anomaly Quantification for Intelligent Vehicles: A Contrastive Learning Approach With Representation Clustering. IEEE Transactions on Intelligent Vehicles, 8(1)
- Hu J, Xu G, Hu L, Li S & Xing Y. (2023). An Adaptive Energy Efficient MAC Protocol for RF Energy Harvesting WBANs. IEEE Transactions on Communications, 71(1)
- Wang C, Hu W, Li W, Xing Y, Chen H, .... (2023). Social Cognitive Autonomous Driving. Journal of Mechanical Engineering, 59(20)
- Xing Y. (2023). A posterior convergence rate theorem for general Markov chains. Communications in Statistics - Theory and Methods, 52(16)
- Bian T, Xing Y & Zolotas A. (2022). End-to-End One-Shot Path-Planning Algorithm for an Autonomous Vehicle Based on a Convolutional Neural Network Considering Traversability Cost. Sensors, 22(24)
- Cao D, Wang X, Li L, Lv C, Na X, .... (2022). Future Directions of Intelligent Vehicles: Potentials, Possibilities, and Perspectives. IEEE Transactions on Intelligent Vehicles, 7(1)
- Yang L, Babayi Semiromi M, Xing Y, Lv C, Brighton J, .... (2022). The Identification of Non-Driving Activities with Associated Implication on the Take-Over Process. Sensors, 22(1)
- Hu Z, Lou S, Xing Y, Wang X, Cao D, .... (2022). Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles. IEEE Transactions on Intelligent Vehicles, 7(3)
- Lv C, Hang P, Xing Y, Nguyen A & Jolfaei A. (2022). Guest editorial: Decision making and control for connected and automated vehicles. IET Intelligent Transport Systems, 16(12)
- Hu Z, Zhang Y, Xing Y, Li Q & Lv C. (2022). An Integrated Framework for Multi-State Driver Monitoring Using Heterogeneous Loss and Attention-Based Feature Decoupling. Sensors, 22(19)
- Li W, Tan R, Xing Y, Li G, Li S, .... (2022). A multimodal psychological, physiological and behavioural dataset for human emotions in driving tasks. Scientific Data, 9(1)
- Li G, Olaverri-Monreal C, Qu X, Wu CS, Li SE, .... (2022). Driver Behavior in Intelligent Transportation Systems [Guest Editorial]. IEEE Intelligent Transportation Systems Magazine, 14(3)
- Mo X, Huang Z, Xing Y & Lv C. (2022). Multi-Agent Trajectory Prediction With Heterogeneous Edge-Enhanced Graph Attention Network. IEEE Transactions on Intelligent Transportation Systems, 23(7)
- Hu Z, Zhang Y, Xing Y, Zhao Y, Cao D, .... (2022). Toward Human-Centered Automated Driving: A Novel Spatiotemporal Vision Transformer-Enabled Head Tracker. IEEE Vehicular Technology Magazine, 17(4)
- Wang H, Lu B, Li J, Liu T, Xing Y, .... (2022). Risk Assessment and Mitigation in Local Path Planning for Autonomous Vehicles With LSTM Based Predictive Model. IEEE Transactions on Automation Science and Engineering, 19(4)
- Li W, Zeng G, Zhang J, Xu Y, Xing Y, .... (2022). CogEmoNet: A Cognitive-Feature-Augmented Driver Emotion Recognition Model for Smart Cockpit. IEEE Transactions on Computational Social Systems, 9(3)
- Xing Y, Lv C, Liu Y, Zhao Y, Cao D, .... (2022). Hybrid-Learning-Based Driver Steering Intention Prediction Using Neuromuscular Dynamics. IEEE Transactions on Industrial Electronics, 69(2)
- Hu Z, Lv C, Hang P, Huang C & Xing Y. (2022). Data-Driven Estimation of Driver Attention Using Calibration-Free Eye Gaze and Scene Features. IEEE Transactions on Industrial Electronics, 69(2)
- Hang P, Lv C, Huang C, Xing Y & Hu Z. (2022). Cooperative Decision Making of Connected Automated Vehicles at Multi-Lane Merging Zone: A Coalitional Game Approach. IEEE Transactions on Intelligent Transportation Systems, 23(4)
- Huang C, Lv C, Hang P, Hu Z & Xing Y. (2022). Human–Machine Adaptive Shared Control for Safe Driving Under Automation Degradation. IEEE Intelligent Transportation Systems Magazine, 14(2)
- Yang L, Lu C, Xiong G, Xing Y & Gong J. (2022). A hybrid motion planning framework for autonomous driving in mixed traffic flow. Green Energy and Intelligent Transportation, 1(3)
- Xiaoxun Z, Xinyu H, Xiaoxia G, Xing Y, Zixu X, .... (2022). Research on crack detection method of wind turbine blade based on a deep learning method. Applied Energy, 328
- Lv C, Li Y, Xing Y, Huang C, Cao D, .... (2021). Human–Machine Collaboration for Automated Driving Using an Intelligent Two‐Phase Haptic Interface. Advanced Intelligent Systems, 3(4)
- Xing Y, Lv C, Cao D & Velenis E. (2021). Multi-scale driver behavior modeling based on deep spatial-temporal representation for intelligent vehicles. Transportation Research Part C: Emerging Technologies, 130(September)
- Liu T, Tan W, Tang X, Zhang J, Xing Y, .... (2021). Driving conditions-driven energy management strategies for hybrid electric vehicles: A review. Renewable and Sustainable Energy Reviews, 151
- Xing Y, Lv C, Mo X, Hu Z, Huang C, .... (2021). Toward Safe and Smart Mobility: Energy-Aware Deep Learning for Driving Behavior Analysis and Prediction of Connected Vehicles. IEEE Transactions on Intelligent Transportation Systems, 22(7)
- Xing Y, Lv C, Cao D & Hang P. (2021). Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving. Transportation Research Part C: Emerging Technologies, 128
- Hang P, Huang C, Hu Z, Xing Y & Lv C. (2021). Decision Making of Connected Automated Vehicles at an Unsignalized Roundabout Considering Personalized Driving Behaviours. IEEE Transactions on Vehicular Technology, 70(5)
- Huang Z, Lv C, Xing Y & Wu J. (2021). Multi-Modal Sensor Fusion-Based Deep Neural Network for End-to-End Autonomous Driving With Scene Understanding. IEEE Sensors Journal, 21(10)
- Huang C, Lv C, Hang P & Xing Y. (2021). Toward Safe and Personalized Autonomous Driving: Decision-Making and Motion Control With DPF and CDT Techniques. IEEE/ASME Transactions on Mechatronics, 26(2)
- Hu Z, Xing Y, Lv C, Hang P & Liu J. (2021). Deep convolutional neural network-based Bernoulli heatmap for head pose estimation. Neurocomputing, 436
- Hang P, Lv C, Xing Y, Huang C & Hu Z. (2021). Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach. IEEE Transactions on Intelligent Transportation Systems, 22(4)
- Liu T, Xing Y, Tang X, Wang H, Yu H, .... (2021). Cyber-Physical-Social System for Parallel Driving: From Concept to Application. IEEE Intelligent Transportation Systems Magazine, 13(1)
- Lv C, Li Y, Xing Y, Huang C, Cao D, .... (2021). Human–Machine Collaboration for Automated Driving Using an Intelligent Two‐Phase Haptic Interface. Advanced Intelligent Systems, 3(4)
- Xing Y, Lv C, Wang H, Cao D & Velenis E. (2020). An ensemble deep learning approach for driver lane change intention inference. Transportation Research Part C: Emerging Technologies, 115
- Hang P, Lv C, Huang C, Cai J, Hu Z, .... (2020). An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors. IEEE Transactions on Vehicular Technology, 69(12)
- Cao D, Li L, Marina C, Chen L, Xing Y, .... (2020). Special Issue on Internet of Things for Connected Automated Driving. IEEE Internet of Things Journal, 7(5)
- Xing Y, Lv C, Zhao Y, Liu Y, Cao D, .... (2020). Pattern Recognition and Characterization of Upper Limb Neuromuscular Dynamics during Driver-Vehicle Interactions. iScience, 23(9)
- Lu C, Hu F, Cao D, Gong J, Xing Y, .... (2020). Transfer Learning for Driver Model Adaptation in Lane-Changing Scenarios Using Manifold Alignment. IEEE Transactions on Intelligent Transportation Systems, 21(8)
- Xing Y & Lv C. (2020). Dynamic State Estimation for the Advanced Brake System of Electric Vehicles by Using Deep Recurrent Neural Networks. IEEE Transactions on Industrial Electronics, 67(11)
- Xing Y, Lv C, Cao D & Lu C. (2020). Energy oriented driving behavior analysis and personalized prediction of vehicle states with joint time series modeling. Applied Energy, 261
- Xing Y, Lv C & Cao D. (2020). Personalized Vehicle Trajectory Prediction Based on Joint Time-Series Modeling for Connected Vehicles. IEEE Transactions on Vehicular Technology, 69(2)
- Wang W, Na X, Cao D, Gong J, Xi J, .... (2020). Decision-making in driver-automation shared control: A review and perspectives. IEEE/CAA Journal of Automatica Sinica, 7(5)
- Xing Y, Lv C, Wang H, Cao D, Velenis E, .... (2019). Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach. IEEE Transactions on Vehicular Technology, 68(6)
- Xing Y, Lv C, Wang H, Wang H, Ai Y, .... (2019). Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges. IEEE Transactions on Vehicular Technology, 68(5)
- Xing Y, Lv C, Wang H, Cao D & Velenis E. (2019). Dynamic integration and online evaluation of vision‐based lane detection algorithms. IET Intelligent Transport Systems, 13(1)
- Lu C, Hu F, Cao D, Gong J, Xing Y, .... (2019). Virtual-to-Real Knowledge Transfer for Driving Behavior Recognition: Framework and a Case Study. IEEE Transactions on Vehicular Technology, 68(7)
- Liu T, Wang X, Xing Y, Gao Y, Tian B, .... (2019). Research on digital quadruplets in cyber-physical-social space-based parallel driving. Chinese Journal of Intelligent Science and Technology, 1(1)
- Xing Y, Lv C, Chen L, Wang H, Wang H, .... (2018). Advances in Vision-Based Lane Detection: Algorithms, Integration, Assessment, and Perspectives on ACP-Based Parallel Vision. IEEE/CAA Journal of Automatica Sinica, 5(3)
- Xing Y, Lv C, Zhang Z, Wang H, Na X, .... (2018). Identification and Analysis of Driver Postures for In-Vehicle Driving Activities and Secondary Tasks Recognition. IEEE Transactions on Computational Social Systems, 5(1)
- Lv C, Xing Y, Lu C, Liu Y, Guo H, .... (2018). Hybrid-Learning-Based Classification and Quantitative Inference of Driver Braking Intensity of an Electrified Vehicle. IEEE Transactions on Vehicular Technology, 67(7)
- Lv C, Xing Y, Zhang J, Na X, Li Y, .... (2018). Levenberg–Marquardt Backpropagation Training of Multilayer Neural Networks for State Estimation of a Safety-Critical Cyber-Physical System. IEEE Transactions on Industrial Informatics, 14(8)
- Xing Y, Lv C, Cao D, Wang H & Zhao Y. (2018). Driver workload estimation using a novel hybrid method of error reduction ratio causality and support vector machine. Measurement, 114
- Zhou Z, Lou B, Xue B, Shi H & Xu D. (2016). Effect of starvation on the type and distribution of mucus cells in the digestive tract of the yellow drum Nibea albiflora (Richardson, 1846). Indian Journal of Fisheries, 63(2)
Conference Papers
- Benoit P, Xing Y & Tsourdos A. (2024). Eyes-Out Airborne Object Detector for Pilots Situational Awareness
- Xing Y, Kong X & Tsourdos A. (2024). RGANFormer: Relativistic Generative Adversarial Transformer for Time-Series Signal Forecasting on Intelligent Vehicles
- Xing Y, Kong X & Tsourdos A. (2024). RGANFormer: Relativistic Generative Adversarial Transformer for Time-Series Signal Forecasting on Intelligent Vehicles
- Tajmilur Khemlani TR, Xing Y & Shin H-S. (2023). Development and Feasibility Study of an Autonomous Obstacle Detection System for Landing Operations
- Üstek İ, Desai J, Torrecillas IL, Abadou S, Wang J, .... (2023). Two-Stage Violence Detection Using ViTPose and Classification Models at Smart Airports
- Benoit P, Bresson M, Xing Y, Guo W & Tsourdos A. (2023). Real-Time Vision-Based Violent Actions Detection Through CCTV Cameras With Pose Estimation
- Fraser B, Copp B, Singh G, Keyvan O, Bian T, .... (2022). Reducing Viral Transmission through AI-based Crowd Monitoring and Social Distancing Analysis
- Osigbesan A, Barrat S, Singh H, Xia D, Singh S, .... (2022). Vision-based Fall Detection in Aircraft Maintenance Environment with Pose Estimation
- Tan R, Li W, Hu F, Xiao X, Li S, .... (2022). Motion Sickness Detection for Intelligent Vehicles: A Wearable-Device-Based Approach
- Mo X, Xing Y & Lv C. (2021). Graph and Recurrent Neural Network-based Vehicle Trajectory Prediction For Highway Driving
- Xue J, Li W, Zhang Y, Xiao H, Tan R, .... (2021). Driver’s Speech Emotion Recognition for Smart Cockpit Based on a Self-Attention Deep Learning Framework
- Xing Y, Hu Z, Huang Z, Lv C, Cao D, .... (2020). Multi-Scale Driver Behaviors Reasoning System for Intelligent Vehicles Based on a Joint Deep Learning Framework
- Xing Y, Lv C, Liu Y, Zhao Y & Cao D. (2020). Continuous Driver Steering Intention Prediction Considering Neuromuscular Dynamics and Driving Postures
- Xing Y, Tian B, Lv C & Cao D. (2020). A Two-Stage Learning Framework for Driver Lane Change Intention Inference
- Xing Y, Tian B, Lv C & Cao D. (2020). A Two-Stage Learning Framework for Driver Lane Change Intention Inference
- Hang P, Lv C, Huang C, Xing Y, Hu Z, .... (2020). Human-Like Lane-Change Decision Making for Automated Driving with a Game Theoretic Approach
- Xing Y, Huang C & Lv C. (2020). Driver-Automation Collaboration for Automated Vehicles: A Review of Human-Centered Shared Control
- Mo X, Xing Y & Lv C. (2020). Interaction-Aware Trajectory Prediction of Connected Vehicles using CNN-LSTM Networks
- Xing Y, Huang C, Lv C, Liu Y, Wang H, .... (2020). A Personalized Deep Learning Approach for Trajectory Prediction of Connected Vehicles
- Xing Y, Tang J, Liu H, Lv C, Cao D, .... (2018). End-to-End Driving Activities and Secondary Tasks Recognition Using Deep Convolutional Neural Network and Transfer Learning
- Xing Y, Lv C, Huaji W, Wang H & Cao D. (2017). Recognizing Driver Braking Intention with Vehicle Data Using Unsupervised Learning Methods
- Xing Y. (2017). An Analysis of the Application of WeChat Public signal in University Library
- Xing Y. (2017). Analysis on the Intelligent Service of "Internet plus " University Library
- Xing Y. (2017). An Analysis of the Lagging Behaviors of Disciplinary Services in University Libraries
- Xing Y. (2016). Strengthening the Humanistic Spirit in the Service of University Library
- Xing Y. (2016). Effective Ways to Improve the Service Quality of University Library
- Xing Y. (2016). The Role of University Library in the Campus Culture
